Depression reduces accuracy while parkinsonism slows response time for processing positive feedback in patients with Parkinson's disease with comorbid major depressive disorder tested on a probabilistic category-learning task

Mohammad M. Herzallah, Hussain Y. Khdour, Ahmad B. Taha, Amjad M. Elmashala, Hamza N. Mousa, Mohamad B. Taha, Zaid Ghanim, Mahmud M. Sehwail, Adel J. Misk, Tarryn Balsdon, Ahmed A. Moustafa, Catherine Myers, Mark Gluck

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Major depressive disorder (MDD) is the most common non-motor manifestation of Parkinson's disease (PD) affecting 50% of patients. However, little is known about the cognitive correlates of MDD in PD. Using a computer-based cognitive task that dissociates learning from positive and negative feedback, we tested four groups of subjects: (1) patients with PD with comorbid MDD, (2) patients with PD without comorbid MDD, (3) matched patients with MDD alone (without PD), and (4) matched healthy control subjects. Furthermore, we used a mathematical model of decision-making to fit both choice and response time data, allowing us to detect and characterize differences between the groups that are not revealed by cognitive results. The groups did not differ in learning accuracy from negative feedback, but the MDD groups (PD patients with MDD and patients with MDD alone) exhibited a selective impairment in learning accuracy from positive feedback when compared to the non-MDD groups (PD patients without MDD and healthy subjects). However, response time in positive feedback trials in the PD groups (both with and without MDD) was significantly slower than the non-PD groups (MDD and healthy groups). While faster response time usually correlates with poor learning accuracy, it was paradoxical in PD groups, with PD patients with MDD having impaired learning accuracy and PD patients without MDD having intact learning accuracy. Mathematical modeling showed that both MDD groups (PD with MDD and MDD alone) were significantly slower than non-MDD groups in the rate of accumulation of information for stimuli trained by positive feedback, which can lead to lower response accuracy. Conversely, modeling revealed that both PD groups (PD with MDD and PD alone) required more evidence than other groups to make responses, thus leading to slower response times. These results suggest that PD patients with MDD exhibit cognitive profiles with mixed traits characteristic of both MDD and PD, furthering our understanding of both PD and MDD and their often-complex comorbidity. To the best of our knowledge, this is the first study to examine feedback-based learning in PD with MDD while controlling for the effects of PD and MDD.

Original languageEnglish (US)
Article number84
JournalFrontiers in Psychiatry
Volume8
Issue numberJUN
DOIs
StatePublished - Jun 12 2017

Fingerprint

Major Depressive Disorder
Parkinsonian Disorders
Reaction Time
Parkinson Disease
Learning
Depression
Depressive Disorder
Healthy Volunteers

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health

Keywords

  • Category learning
  • Depression
  • Dopamine
  • Negative feedback
  • Parkinson's disease
  • Positive feedback

Cite this

Herzallah, Mohammad M. ; Khdour, Hussain Y. ; Taha, Ahmad B. ; Elmashala, Amjad M. ; Mousa, Hamza N. ; Taha, Mohamad B. ; Ghanim, Zaid ; Sehwail, Mahmud M. ; Misk, Adel J. ; Balsdon, Tarryn ; Moustafa, Ahmed A. ; Myers, Catherine ; Gluck, Mark. / Depression reduces accuracy while parkinsonism slows response time for processing positive feedback in patients with Parkinson's disease with comorbid major depressive disorder tested on a probabilistic category-learning task. In: Frontiers in Psychiatry. 2017 ; Vol. 8, No. JUN.
@article{66aa69499e0348e0b7ea7489473d13ee,
title = "Depression reduces accuracy while parkinsonism slows response time for processing positive feedback in patients with Parkinson's disease with comorbid major depressive disorder tested on a probabilistic category-learning task",
abstract = "Major depressive disorder (MDD) is the most common non-motor manifestation of Parkinson's disease (PD) affecting 50{\%} of patients. However, little is known about the cognitive correlates of MDD in PD. Using a computer-based cognitive task that dissociates learning from positive and negative feedback, we tested four groups of subjects: (1) patients with PD with comorbid MDD, (2) patients with PD without comorbid MDD, (3) matched patients with MDD alone (without PD), and (4) matched healthy control subjects. Furthermore, we used a mathematical model of decision-making to fit both choice and response time data, allowing us to detect and characterize differences between the groups that are not revealed by cognitive results. The groups did not differ in learning accuracy from negative feedback, but the MDD groups (PD patients with MDD and patients with MDD alone) exhibited a selective impairment in learning accuracy from positive feedback when compared to the non-MDD groups (PD patients without MDD and healthy subjects). However, response time in positive feedback trials in the PD groups (both with and without MDD) was significantly slower than the non-PD groups (MDD and healthy groups). While faster response time usually correlates with poor learning accuracy, it was paradoxical in PD groups, with PD patients with MDD having impaired learning accuracy and PD patients without MDD having intact learning accuracy. Mathematical modeling showed that both MDD groups (PD with MDD and MDD alone) were significantly slower than non-MDD groups in the rate of accumulation of information for stimuli trained by positive feedback, which can lead to lower response accuracy. Conversely, modeling revealed that both PD groups (PD with MDD and PD alone) required more evidence than other groups to make responses, thus leading to slower response times. These results suggest that PD patients with MDD exhibit cognitive profiles with mixed traits characteristic of both MDD and PD, furthering our understanding of both PD and MDD and their often-complex comorbidity. To the best of our knowledge, this is the first study to examine feedback-based learning in PD with MDD while controlling for the effects of PD and MDD.",
keywords = "Category learning, Depression, Dopamine, Negative feedback, Parkinson's disease, Positive feedback",
author = "Herzallah, {Mohammad M.} and Khdour, {Hussain Y.} and Taha, {Ahmad B.} and Elmashala, {Amjad M.} and Mousa, {Hamza N.} and Taha, {Mohamad B.} and Zaid Ghanim and Sehwail, {Mahmud M.} and Misk, {Adel J.} and Tarryn Balsdon and Moustafa, {Ahmed A.} and Catherine Myers and Mark Gluck",
year = "2017",
month = "6",
day = "12",
doi = "10.3389/fpsyt.2017.00084",
language = "English (US)",
volume = "8",
journal = "Frontiers in Psychiatry",
issn = "1664-0640",
publisher = "Frontiers Research Foundation",
number = "JUN",

}

Depression reduces accuracy while parkinsonism slows response time for processing positive feedback in patients with Parkinson's disease with comorbid major depressive disorder tested on a probabilistic category-learning task. / Herzallah, Mohammad M.; Khdour, Hussain Y.; Taha, Ahmad B.; Elmashala, Amjad M.; Mousa, Hamza N.; Taha, Mohamad B.; Ghanim, Zaid; Sehwail, Mahmud M.; Misk, Adel J.; Balsdon, Tarryn; Moustafa, Ahmed A.; Myers, Catherine; Gluck, Mark.

In: Frontiers in Psychiatry, Vol. 8, No. JUN, 84, 12.06.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Depression reduces accuracy while parkinsonism slows response time for processing positive feedback in patients with Parkinson's disease with comorbid major depressive disorder tested on a probabilistic category-learning task

AU - Herzallah, Mohammad M.

AU - Khdour, Hussain Y.

AU - Taha, Ahmad B.

AU - Elmashala, Amjad M.

AU - Mousa, Hamza N.

AU - Taha, Mohamad B.

AU - Ghanim, Zaid

AU - Sehwail, Mahmud M.

AU - Misk, Adel J.

AU - Balsdon, Tarryn

AU - Moustafa, Ahmed A.

AU - Myers, Catherine

AU - Gluck, Mark

PY - 2017/6/12

Y1 - 2017/6/12

N2 - Major depressive disorder (MDD) is the most common non-motor manifestation of Parkinson's disease (PD) affecting 50% of patients. However, little is known about the cognitive correlates of MDD in PD. Using a computer-based cognitive task that dissociates learning from positive and negative feedback, we tested four groups of subjects: (1) patients with PD with comorbid MDD, (2) patients with PD without comorbid MDD, (3) matched patients with MDD alone (without PD), and (4) matched healthy control subjects. Furthermore, we used a mathematical model of decision-making to fit both choice and response time data, allowing us to detect and characterize differences between the groups that are not revealed by cognitive results. The groups did not differ in learning accuracy from negative feedback, but the MDD groups (PD patients with MDD and patients with MDD alone) exhibited a selective impairment in learning accuracy from positive feedback when compared to the non-MDD groups (PD patients without MDD and healthy subjects). However, response time in positive feedback trials in the PD groups (both with and without MDD) was significantly slower than the non-PD groups (MDD and healthy groups). While faster response time usually correlates with poor learning accuracy, it was paradoxical in PD groups, with PD patients with MDD having impaired learning accuracy and PD patients without MDD having intact learning accuracy. Mathematical modeling showed that both MDD groups (PD with MDD and MDD alone) were significantly slower than non-MDD groups in the rate of accumulation of information for stimuli trained by positive feedback, which can lead to lower response accuracy. Conversely, modeling revealed that both PD groups (PD with MDD and PD alone) required more evidence than other groups to make responses, thus leading to slower response times. These results suggest that PD patients with MDD exhibit cognitive profiles with mixed traits characteristic of both MDD and PD, furthering our understanding of both PD and MDD and their often-complex comorbidity. To the best of our knowledge, this is the first study to examine feedback-based learning in PD with MDD while controlling for the effects of PD and MDD.

AB - Major depressive disorder (MDD) is the most common non-motor manifestation of Parkinson's disease (PD) affecting 50% of patients. However, little is known about the cognitive correlates of MDD in PD. Using a computer-based cognitive task that dissociates learning from positive and negative feedback, we tested four groups of subjects: (1) patients with PD with comorbid MDD, (2) patients with PD without comorbid MDD, (3) matched patients with MDD alone (without PD), and (4) matched healthy control subjects. Furthermore, we used a mathematical model of decision-making to fit both choice and response time data, allowing us to detect and characterize differences between the groups that are not revealed by cognitive results. The groups did not differ in learning accuracy from negative feedback, but the MDD groups (PD patients with MDD and patients with MDD alone) exhibited a selective impairment in learning accuracy from positive feedback when compared to the non-MDD groups (PD patients without MDD and healthy subjects). However, response time in positive feedback trials in the PD groups (both with and without MDD) was significantly slower than the non-PD groups (MDD and healthy groups). While faster response time usually correlates with poor learning accuracy, it was paradoxical in PD groups, with PD patients with MDD having impaired learning accuracy and PD patients without MDD having intact learning accuracy. Mathematical modeling showed that both MDD groups (PD with MDD and MDD alone) were significantly slower than non-MDD groups in the rate of accumulation of information for stimuli trained by positive feedback, which can lead to lower response accuracy. Conversely, modeling revealed that both PD groups (PD with MDD and PD alone) required more evidence than other groups to make responses, thus leading to slower response times. These results suggest that PD patients with MDD exhibit cognitive profiles with mixed traits characteristic of both MDD and PD, furthering our understanding of both PD and MDD and their often-complex comorbidity. To the best of our knowledge, this is the first study to examine feedback-based learning in PD with MDD while controlling for the effects of PD and MDD.

KW - Category learning

KW - Depression

KW - Dopamine

KW - Negative feedback

KW - Parkinson's disease

KW - Positive feedback

UR - http://www.scopus.com/inward/record.url?scp=85020551729&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020551729&partnerID=8YFLogxK

U2 - 10.3389/fpsyt.2017.00084

DO - 10.3389/fpsyt.2017.00084

M3 - Article

AN - SCOPUS:85020551729

VL - 8

JO - Frontiers in Psychiatry

JF - Frontiers in Psychiatry

SN - 1664-0640

IS - JUN

M1 - 84

ER -